Data Science is rapidly growing into an interesting and diverse field encompassing a mixture of deep specialization and broad applications. As we work to define this field it is important that we always have access to the growing landscape of data science concepts, and understand how they branch from high level approaches to specific implementations. In an effort to mix a birds-eye view of this growing landscape with the ability to drill down and learn the concepts, I decided to capture data science approaches and tools visually in an expandable ontology visualization.
Check it out here: http://www.datascienceontology.com.
https://www.kaggle.com/">Kaggle
is the world's largest community of data scientists. They compete with each other to solve complex data science problems, and the top competitors are invited to work on the most interesting and sensitive business problems from some of the world’s biggest companies through Masters competitions.
Kaggle is a platform for data-related competitions. The platform allows companies, researchers, government and other organizations to post their modeling problems and have data professionals and researchers compete to produce the best solutions. Kaggle offers data professionals and researchers the opportunity to test their skills, try their techniques on interesting datasets and enhance their professional reputations.